AL <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 3.5, 
           Poverty = 16.6, Incarceration = 595, Burgulary = 969.1, Officers = 0.00232)
AK <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 1, Unemployment = 6.5, 
           Poverty = 10.9, Incarceration = 462, Burgulary = 617.3, Officers = 0.00182)
AZ <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 1, Unemployment = 4.1, 
           Poverty = 14.2, Incarceration = 509, Burgulary = 925.3, Officers = 0.00194)
AR <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 5.3, 
           Poverty = 17.3, Incarceration = 485, Burgulary = 1,139.90, Officers = 0.00192)
CA <- list(SYG = 1, RTC = "May Issue", SNS = 0, YA = 1, Unemployment = 4.9, 
           Poverty = 13.1, Incarceration = 475, Burgulary = 676, Officers = 0.00238)
CO <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 4.3, 
           Poverty = 12, Incarceration = 469, Burgulary = 682.1, Officers = 0.00238)
CT <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 1, Unemployment = 4.4, 
           Poverty = 8.3, Incarceration = 392, Burgulary = 419.3, Officers = 0.00225)
DE <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 1, Unemployment = 3.5, 
           Poverty = 11.1, Incarceration = 488, Burgulary = 725.2, Officers = 0.00263)
DC <- list(SYG = 2, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 5.9, 
           Poverty = 19.6, Incarceration = "DNE", Burgulary = 659.5, Officers = 0.00721)
FL <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3.4, 
           Poverty = 12.6, Incarceration = 499, Burgulary = 944.6, Officers = 0.00254)
GA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 4.6, 
           Poverty = 14.7, Incarceration = 533, Burgulary = 909, Officers = 0.00256)
HI <- list(SYG = 0, RTC = "May Issue", SNS = 1, YA = 1, Unemployment = 2.5, 
           Poverty = 9.3, Incarceration = 338, Burgulary = 677.5, Officers = 0.00225)
ID <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 3.2, 
           Poverty = 12.6, Incarceration = 480, Burgulary = 513.2, Officers = 0.00177)
IL <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 1, Unemployment = 4.6, 
           Poverty = 12.3, Incarceration = 350, Burgulary = 602.1, Officers = 0.00291)
IN <- list(SYG = 1, RTC = "Shall Issue", SNS = 1, YA = 1, Unemployment = 4.9, 
           Poverty = 12.7, Incarceration = 411, Burgulary = 731.3, Officers = 0.0018)
IA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3.8, 
           Poverty = 11, Incarceration = 296, Burgulary = 604.2, Officers = 0.00170)
KS <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 1, Unemployment = 4.3, 
           Poverty = 12.4, Incarceration = 318, Burgulary = 723.3, Officers = 0.00265)
KY <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 5.8, 
           Poverty = 17, Incarceration = 459, Burgulary = 644.8, Officers = 0.00196)
LA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 3.9, 
           Poverty = 19, Incarceration = 797, Burgulary = 1,049.20, Officers = 0.00390)
ME <- list(SYG = 0, RTC = "Constitutional", SNS = 0, YA = 1, Unemployment = 4.6, 
           Poverty = 12.9, Incarceration = 151, Burgulary = 512.9, Officers = 0.00167)
MD <- list(SYG = 0, RTC = "May Issue", SNS = 1, YA = 1, Unemployment = 3.8, 
           Poverty = 7.8, Incarceration = 394, Burgulary = 667, Officers = 0.00268)
MA <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 1, Unemployment = 4.8, 
           Poverty = 9.9, Incarceration = 243, Burgulary = 546.5, Officers = 0.00267)
MI <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 6.9, 
           Poverty = 13.5, Incarceration = 511, Burgulary = 753.9, Officers = 0.00196)
MN <- list(SYG = 1, RTC = "Shall Issue", SNS = 1, YA = 1, Unemployment = 4, 
           Poverty = 9.8, Incarceration = 176, Burgulary = 583.9, Officers = 0.00169)
MS <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 6.7, 
           Poverty = 21.1, Incarceration = 660, Burgulary = 935.9, Officers = 0.00224)
MO <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 4.8, 
           Poverty = 13.6, Incarceration = 514, Burgulary = 764.1, Officers = 0.00235)
MT <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3.3, 
           Poverty = 13.6, Incarceration = 374, Burgulary = 310.7, Officers = 0.00178)
NE <- list(SYG = 0, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3, 
           Poverty = 11.5, Incarceration = 237, Burgulary = 534.5, Officers = 0.00200)
NV <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 4.2, 
           Poverty = 10.3, Incarceration = 503, Burgulary = 994.6, Officers = 0.00211)
NH <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 3.5, 
           Poverty = 8, Incarceration = 207, Burgulary = 331.4, Officers = 0.00209)
NJ <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 1, Unemployment = 4.7, 
           Poverty = 8.7, Incarceration = 313, Burgulary = 452, Officers = 0.00344)
NM <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 4.3, 
           Poverty = 18.5, Incarceration = 323, Burgulary = 1,069.70, Officers = 0.00227)
NY <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 0, Unemployment = 4.6, 
           Poverty = 14.2, Incarceration = 326, Burgulary = 355.1, Officers = 0.00332)
NC <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 4.7, 
           Poverty = 14.7, Incarceration = 360, Burgulary = 1,212.70, Officers = 0.00242)
ND <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3.2, 
           Poverty = 11.4, Incarceration = 214, Burgulary = 376.3, Officers = 0.00186)
OH <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 5.4, 
           Poverty = 13.3, Incarceration = 428, Burgulary = 909.8, Officers = 0.00203)
OK <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 4.1, 
           Poverty = 17, Incarceration = 652, Burgulary = 960.5, Officers = 0.00197)
OR <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 5.4, 
           Poverty = 13.3, Incarceration = 367, Burgulary = 645.2, Officers = 0.00156)
PA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 4.6, 
           Poverty = 12.1, Incarceration = 353, Burgulary = 463.2, Officers = 0.00279)
RI <- list(SYG = 0, RTC = "May Issue", SNS = 0, YA = 0, Unemployment = 5.1, 
           Poverty = 11.1, Incarceration = 202, Burgulary = 507.2, Officers = 0.00240)
SC <- list(SYG = 1, RTC = "Shall Issue", SNS = 1, YA = 0, Unemployment = 6.4, 
           Poverty = 15.7, Incarceration = 525, Burgulary = 989.8, Officers = 0.00248)
SD <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 3.1, 
           Poverty = 13.6, Incarceration = 426, Burgulary = 338.9, Officers = 0.00159)
TN <- list(SYG = 0, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 5.1, 
           Poverty = 16.2, Incarceration = 423, Burgulary = 1,040.90, Officers = 0.00248)
TX <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 0, Unemployment = 4.9, 
           Poverty = 16.9, Incarceration = 683, Burgulary = 917.3, Officers = 0.00213)
UT <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3, 
           Poverty = 10.6, Incarceration = 246, Burgulary = 576.5, Officers = 0.00176)
VT <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 3.7, 
           Poverty = 10.3, Incarceration = 262, Burgulary = 528.9, Officers = 0.00312)
VA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 3, 
           Poverty = 9.6, Incarceration = 477, Burgulary = 417.6, Officers = 0.00231)
WA <- list(SYG = 1, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 4.9, 
           Poverty = 11.8, Incarceration = 271, Burgulary = 911.6, Officers = 0.00161)
WV <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 4.7, 
           Poverty = 17.3, Incarceration = 314, Burgulary = 634.1, Officers = 0.00185)
WI <- list(SYG = 0, RTC = "Shall Issue", SNS = 0, YA = 1, Unemployment = 4.7, 
           Poverty = 11, Incarceration = 393, Burgulary = 485.8, Officers = 0.00235)
WY <- list(SYG = 1, RTC = "Constitutional", SNS = 0, YA = 0, Unemployment = 3.3, 
           Poverty = 9.4, Incarceration = 408, Burgulary = 450.5, Officers = 0.00257)
